2024
Accuracy of Electronic Health Record Phenotypes to Detect Recognition of Hypertension in Pediatric Primary Care
Nugent J, Cueto V, Tong C, Sharifi M. Accuracy of Electronic Health Record Phenotypes to Detect Recognition of Hypertension in Pediatric Primary Care. Academic Pediatrics 2024, 25: 102629. PMID: 39732164, PMCID: PMC11893226, DOI: 10.1016/j.acap.2024.102629.Peer-Reviewed Original ResearchConceptsPediatric primary careIncident hypertensionHypertensive BPHypertension recognitionPrimary careRecognition of hypertensionCross-sectional study of children aged 3Diagnosis codesElectronic health record phenotypingClinician recognitionClinician decision supportGuideline-recommended careElectronic health recordsInternational Classification of DiseasesChart reviewDocumentation of hypertensionClassification of DiseasesCross-sectional studyChildren aged 3Problem list entriesWellness visitsHealth recordsEHR phenotypesInternational ClassificationICD-10External Validation of an Electronic Phenotyping Algorithm Detecting Attention to High Body Mass Index in Pediatric Primary Care
Barron A, Fenick A, Maciejewski K, Turer C, Sharifi M. External Validation of an Electronic Phenotyping Algorithm Detecting Attention to High Body Mass Index in Pediatric Primary Care. Applied Clinical Informatics 2024, 15: 700-708. PMID: 39197473, PMCID: PMC11387092, DOI: 10.1055/s-0044-1787975.Peer-Reviewed Original ResearchConceptsElectronic health recordsBody mass indexPediatric primary careElevated body mass indexWeight-related comorbiditiesPrimary carePediatric primary care practicesElectronic health record dataBody mass index categoriesMass indexImprove obesity managementPrimary care practicesWell-child visitsHigher body mass indexChart reviewLikelihood of classificationElectronic phenotyping algorithmsFree-text componentsClinician typeCare practicesHealth recordsClinician behaviorLaboratory ordersProgress notesObesity management
2013
A systematic review of validated methods to capture acute bronchospasm using administrative or claims data
Sharifi M, Krishanswami S, McPheeters ML. A systematic review of validated methods to capture acute bronchospasm using administrative or claims data. Vaccine 2013, 31: k12-k20. PMID: 24331069, DOI: 10.1016/j.vaccine.2013.06.091.Peer-Reviewed Original ResearchConceptsAcute bronchospasmAcute asthmaInclusion criteriaPharmacy claim-based algorithmsAcute asthma exacerbationICD-9 codesClaims-based algorithmPre-determined inclusion criteriaAsthma exacerbationsInfectious etiologyPediatric populationDiagnosis codesOutcome definitionsBronchospasmPaucity of studiesReference lists
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